Market instrument for the first fuel and its role in decarbonizing Indian industrial production
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DOI: 10.1016/j.enpol.2024.114139
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- Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Mahanty, Biswajit, 2017. "Compliance choice analysis for India's thermal power sector in the market-based energy efficiency regime," Energy Policy, Elsevier, vol. 108(C), pages 624-633.
- Jon Kleinberg & Jens Ludwig & Sendhil Mullainathan & Ziad Obermeyer, 2015. "Prediction Policy Problems," American Economic Review, American Economic Association, vol. 105(5), pages 491-495, May.
- Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Mahanty, Biswajit, 2018. "Examining the process of normalising the energy-efficiency targets for coal-based thermal power sector in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 342-352.
- Sudhakara Reddy, B. & Kumar Ray, Binay, 2011.
"Understanding industrial energy use: Physical energy intensity changes in Indian manufacturing sector,"
Energy Policy, Elsevier, vol. 39(11), pages 7234-7243.
- Binay Kumar Ray & B. Sudhakara Reddy, 2008. "Understanding industrial energy use - Physical energy intensity changes in Indian manufacturing sector," Energy Working Papers 22328, East Asian Bureau of Economic Research.
- B. Sudhakara Reddy & Binay Kumar Ray, 2010. "Understanding Industrial Energy Use: Physical Energy Intensity Changes in Indian Manufacturing Sector," Working Papers id:2397, eSocialSciences.
- Binay Kumar Ray & B. Sudhakara Reddy, 2008. "Understanding industrial energy use: Physical energy intensity changes in Indian manufacturing sector," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2008-011, Indira Gandhi Institute of Development Research, Mumbai, India.
- Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
- Sanchez, Luis F. & Stern, David I., 2016.
"Drivers of industrial and non-industrial greenhouse gas emissions,"
Ecological Economics, Elsevier, vol. 124(C), pages 17-24.
- Sanchez, Luis F. & Stern, David I., 2015. "Drivers of Industrial and Non-Industrial Greenhouse Gas Emissions," Working Papers 249506, Australian National University, Centre for Climate Economics & Policy.
- Luis F. Sanchez & David I. Stern, 2015. "Drivers of Industrial and Non-Industrial Greenhouse Gas Emissions," CCEP Working Papers 1502, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
- Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Sahoo, Biresh K. & Mahanty, Biswajit, 2017. "Rationality of energy efficiency improvement targets under the PAT scheme in India – A case of thermal power plants," Energy Economics, Elsevier, vol. 66(C), pages 279-289.
- Moon, Hana & Min, Daiki, 2017. "Assessing energy efficiency and the related policy implications for energy-intensive firms in Korea: DEA approach," Energy, Elsevier, vol. 133(C), pages 23-34.
- Arnulf Grubler & Charlie Wilson & Nuno Bento & Benigna Boza-Kiss & Volker Krey & David L. McCollum & Narasimha D. Rao & Keywan Riahi & Joeri Rogelj & Simon Stercke & Jonathan Cullen & Stefan Frank & O, 2018. "A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies," Nature Energy, Nature, vol. 3(6), pages 515-527, June.
- Esther Duflo & Michael Greenstone & Nicholas Ryan, 2013.
"Truth-telling by Third-party Auditors and the Response of Polluting Firms: Experimental Evidence from India,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1499-1545.
- Esther Duflo & Michael Greenstone & Rohini Pande & Nicholas Ryan, 2013. "Truth-telling by Third-party Auditors and the Response of Polluting Firms: Experimental Evidence from India," NBER Working Papers 19259, National Bureau of Economic Research, Inc.
- Esther Duflo & Michael Greenstone & Rohini Pande & Nicholas Ryan, 2013. "Truth-telling by Third-party Auditors and the Response of Polluting Firms: Experimental Evidence from India," CID Working Papers 262, Center for International Development at Harvard University.
- Bagchi, Prantik & Sahu, Santosh Kumar & Kumar, Ajay & Tan, Kim Hua, 2022.
"Analysis of carbon productivity for firms in the manufacturing sector of India,"
Technological Forecasting and Social Change, Elsevier, vol. 178(C).
- Prantik Bagchi & Santosh Kumar Sahu & Ajay Kumar & Kim Hua Tan, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Post-Print hal-03628401, HAL.
- Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
- Manojlović, Vaso & Kamberović, Željko & Korać, Marija & Dotlić, Milan, 2022. "Machine learning analysis of electric arc furnace process for the evaluation of energy efficiency parameters," Applied Energy, Elsevier, vol. 307(C).
- Kaumudi Misra, 2019. "Impact of perform-achieve-trade policy on the energy intensity of cement and iron and steel industries in India," Working Papers 451, Institute for Social and Economic Change, Bangalore.
- Hu, R.L. & Granderson, J. & Auslander, D.M. & Agogino, A., 2019. "Design of machine learning models with domain experts for automated sensor selection for energy fault detection," Applied Energy, Elsevier, vol. 235(C), pages 117-128.
- Dani Rodrik, 2014. "Green industrial policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(3), pages 469-491.
- Bhandari, Divita & Shrimali, Gireesh, 2018. "The perform, achieve and trade scheme in India: An effectiveness analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1286-1295.
- Ke, Jing & Price, Lynn & McNeil, Michael & Khanna, Nina Zheng & Zhou, Nan, 2013. "Analysis and practices of energy benchmarking for industry from the perspective of systems engineering," Energy, Elsevier, vol. 54(C), pages 32-44.
- Brouwers, Roel & Schoubben, Frederiek & Van Hulle, Cynthia & Van Uytbergen, Steve, 2016. "The initial impact of EU ETS verification events on stock prices," Energy Policy, Elsevier, vol. 94(C), pages 138-149.
- Alam, Md. Samsul & Atif, Muhammad & Chien-Chi, Chu & Soytaş, Uğur, 2019. "Does corporate R&D investment affect firm environmental performance? Evidence from G-6 countries," Energy Economics, Elsevier, vol. 78(C), pages 401-411.
- Kumar, Rajesh & Agarwala, Arun, 2013. "Energy certificates REC and PAT sustenance to energy model for India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 315-323.
- Mandal, Sabuj Kumar, 2010. "Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian Cement Industry," Energy Policy, Elsevier, vol. 38(10), pages 6076-6083, October.
- Hu, Yucai & Ren, Shenggang & Wang, Yangjie & Chen, Xiaohong, 2020. "Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China," Energy Economics, Elsevier, vol. 85(C).
- Dutta, Monica & Mukherjee, Saptarshi, 2010. "An outlook into energy consumption in large scale industries in India: The cases of steel, aluminium and cement," Energy Policy, Elsevier, vol. 38(11), pages 7286-7298, November.
- Da Zhang & Qin Zhang & Shaozhou Qi & Jinpeng Huang & Valerie J. Karplus & Xiliang Zhang, 2019. "Integrity of firms’ emissions reporting in China’s early carbon markets," Nature Climate Change, Nature, vol. 9(2), pages 164-169, February.
- Phdungsilp, Aumnad & Wuttipornpun, Teeradej, 2013. "Analyses of the decarbonizing Thailand's energy system toward low-carbon futures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 187-197.
- Berner, Anne & Lange, Steffen & Silbersdorff, Alexander, 2022. "Firm-level energy rebound effects and relative efficiency in the German manufacturing sector," Energy Economics, Elsevier, vol. 109(C).
- Alessandro Liberati & Douglas G Altman & Jennifer Tetzlaff & Cynthia Mulrow & Peter C Gøtzsche & John P A Ioannidis & Mike Clarke & P J Devereaux & Jos Kleijnen & David Moher, 2009. "The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-28, July.
- Satoshi Honma & Jin-Li Hu, 2018. "A meta-stochastic frontier analysis for energy efficiency of regions in Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-16, December.
- Oak, Hena & Bansal, Sangeeta, 2022. "Enhancing energy efficiency of Indian industries: Effectiveness of PAT scheme," Energy Economics, Elsevier, vol. 113(C).
- Balachandra, P. & Ravindranath, Darshini & Ravindranath, N.H., 2010. "Energy efficiency in India: Assessing the policy regimes and their impacts," Energy Policy, Elsevier, vol. 38(11), pages 6428-6438, November.
- Bhattacharya, Tanushree & Kapoor, Richa, 2012. "Energy saving instrument – ESCerts in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1311-1316.
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Keywords
Decarbonization; Energy efficiency; Carbon emission trading; Perform Achieve and trade;All these keywords.
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